Apr 2022 – Mar 2024 · 1 yr 11 mos · Remote

• Enabling data-driven marketing and real-time intelligent solutions through Cloud Data Axle Platform and ML/AI

May 2021 – Apr 2022 · 11 mos

• Led Enterprise AI/ML and Data Engineering teams
• Delivered $500M impact through Enterprise search, Sales analytics, Forecasting, Predictive Goaling and Telemetry. Responsible for Enterprise data foundation, Enterprise metrics and transformation to Recurring revenue metrics.

Jun 2019 – May 2021 · 1 yr 11 mos

• Responsible for Data - Product Management, Business Intelligence, Data Science, ML Engineering, Data Engineering and Program Management
• Data Analytics initiatives delivering significant impact to the company are (only a few are listed)
• To drive growth: Monthly paying customers - Customer lifecycle Management, Personalised Marketing, Personalized 1:1 Promotion and Campaign decisioning engine
• To drive top line revenue - Dynamic pricing, Intelligent fee platform, Programmatic driver incentive engine
• Operating margin- Fraud Detection, Vendor negotiation & consolidation, IT Infrastructure optimization & Google cloud cost optimization
• Revenue generation - Data monetization, Ad Network - Merchant/Brand Customer affinity, Smart customer segmentation
• Capabilities delivered - Smart analytics platform, Customer360, Machine learning Platform, Fraud & Risk platform on GCS
• Open sourced components like feature store and model evaluation & experimentation
• Responsible for Data Governance, Privacy & partnered with CISO on security
• Team of 250+ - Data Scientists, Analysts, Data Engineers, Product Management, Program Management
• Geographically distributed team in Indonesia, India, Singapore, Thailand & Vietnam

May 2018 – Apr 2019 · 11 mos · San Francisco Bay Area

• Responsible for Data Infrastructure, Data Policy, Governance, Business Intelligence, Analytics, Machine Learning and Artificial Intelligence Strategy for the company
• Led the strategy to deliver $300M+ benefits enabled through Data Science & AI initiatives:
• Demand Forecasting and Replenishment: perpetual inventory in stores and distribution centers. Automated replenishment
• Dynamic and Localized Price Optimization
• Promotion advisor: Optimizing billions of dollars of promotions
• Vendor Negotiator: Ability to leverage analytics to get more vendor funds
• Localized assortment planning
• Labor forecasting and scheduling
• Personalized Marketing and personalized deals enabled through personalized 1:1 recommender systems
• Foundational Capabilities:
• Modern Data Platform/Lake on Azure Cloud - batch & real time/streams
• Customer360
• Business Intelligence Layer to enable Self Serve Analytics
• Data Virtualization, Data Catalog, Model library, Model & Data Governance, Security
• On a journey to simplify legacy architecture, break data silos and lower operating costs
• Ensure Disaster recovery solutions are in place
• Tech stack: Airflow, Redis, HDInsights, Databricks, MySQL, Hue, Azure ML Service, Power BI, ADLS and Kafka

Jun 2012 – May 2018 · 5 yrs 11 mos · San Francisco Bay Area

• Enabling insights driven organization by democratizing data and science.
• Data Platform:
• Built and hired the entire BigData team.
• Reduced and optimized cost of Analytics Platform by going to Cloud & open source. Simplified architecture, drove innovation, enabled experimentation and automation.
• Built a scalable PetaByte+ hybrid data platform that runs in our data center + cloud (AWS and now Google Cloud).
• Enabled batch and real-time advanced analytics.
• Designed and developed an IOT platform that processes behavioral signals from our stores and delivers real-time insights.
• Designed and developed data science products enabled through our horizontally stateless highly scalable (1000+ tps), low latency (<10ms) micro services architecture with an uptime of 99.999.
• Data Science Products - deliver relevant and personalized experience on our digital channels. Improving search relevancy through Machine learning - smart indexes, personalization, visual/image search, NLP, Voice.
• Data platform includes - BigData, Teradata, Netezza and Business Intelligence stack - MSI, Tableau. Currently in the process of simplifying and modernizing the platform.
• Marketing platform and real-time decisioning systems - like campaigning systems and real-time offers.
• Expert in running on-shore and off-shore teams.
• Technologies - Hadoop, HBase, Spark, Kafka, Flume, Elastic Search, Solr, Lucene, Play Framework
• Data Science Engineering:
• Built and hired the entire Data Science team of over 15+ Data Scientists. Built an on-shore and off-shore team. We believe in one team and we are having fun while solving some really hard problems.
• Enabled of COE - Data Science @ Kohl's.
• Aware of Supervised and unsupervised techniques , Regression, Classification,
• Naive Bayes, SVM, Decision Trees, Deep Learning, Neural Networks , Logistic Regression, Random Forest.
• Regularly invited and presented at several conferences.
• For e.g. https://tc16.tableau.com/learn/speakers/3579

Aug 2009 – May 2012 · 2 yrs 9 mos

• Part of the team that launched Streaming platforms, streaming services and infrastructure
• Launched Apple, XBox, Playstation, Nintendo Wii, Smart TVs

Jun 2008 – Aug 2009 · 1 yr 2 mos

Jan 2000 – Jan 2007 · 7 yrs

• Responsible for Improving system performance and uptime.

Jan 1999 – Jan 2000 · 1 yr

• One of the key developers on the Buyerxpert product. This product enables customers to do procurement over the Internet.
• Was a member of the performance engineering team that increased the performance and scalability of the product.